{
  "annotation_id": "ce969d63-46fe-462c-8870-711d24d6df26",
  "date_created": "2026-03-02T18:00:53.423000Z",
  "date_modified": "2026-03-02T18:00:53.423000Z",
  "file_hash": "4e5745f76d1074c42ebac3a0d6d94522f1bedf566563e1c51eb1737ea08a045c",
  "private": false,
  "record": {
    "abstract": "The GPCALMA (Grid Platform for Computer Assisted Library for MAmmography)\ncollaboration involves several departments of physics, INFN sections, and\nitalian hospitals. The aim of this collaboration is developing a tool that can\nhelp radiologists in early detection of breast cancer. GPCALMA has built a\nlarge distributed database of digitised mammographic images (about 5500 images\ncorresponding to 1650 patients) and developed a CAD (Computer Aided Detection)\nsoftware which is integrated in a station that can also be used for acquire new\nimages, as archive and to perform statistical analysis. The images are\ncompletely described: pathological ones have a consistent characterization with\nradiologist\u0027s diagnosis and histological data, non pathological ones correspond\nto patients with a follow up at least three years. The distributed database is\nrealized throught the connection of all the hospitals and research centers in\nGRID tecnology. In each hospital local patients digital images are stored in\nthe local database. Using GRID connection, GPCALMA will allow each node to work\non distributed database data as well as local database data. Using its database\nthe GPCALMA tools perform several analysis. A texture analysis, i.e. an\nautomated classification on adipose, dense or glandular texture, can be\nprovided by the system. GPCALMA software also allows classification of\npathological features, in particular massive lesions analysis and\nmicrocalcification clusters analysis. The performance of the GPCALMA system\nwill be presented in terms of the ROC (Receiver Operating Characteristic)\ncurves. The results of GPCALMA system as \"second reader\" will also be\npresented.",
    "arxiv_id": "physics/0410084",
    "authors": [
      "U. Bottigli",
      "P. Cerello",
      "S. Cheran",
      "P. Delogu",
      "M. E. Fantacci",
      "F. Fauci",
      "B. Golosio",
      "A. Lauria",
      "E. Lopez Torres",
      "R. Magro",
      "G. L. Masala",
      "P. Oliva",
      "R. Palmiero",
      "G. Raso",
      "A. Retico",
      "S. Stumbo",
      "S. Tangaro"
    ],
    "categories": [
      "physics.med-ph"
    ],
    "doi": "10.1063/1.1615100",
    "title": "GPCALMA: A Tool For Mammography With A GRID-Connected Distributed   Database",
    "url": "https://arxiv.org/abs/physics/0410084"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "6dd4a74f-07bb-4e20-b3f4-238c30b856d8",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}